Reliability-based long term hydro/thermal reserve allocation of power systems with high wind power penetration

Author(s):  
Peng Wang ◽  
Lalit Goel ◽  
Yi Ding ◽  
Loh Poh Chang ◽  
M. Andrew
Keyword(s):  
2018 ◽  
Vol 33 (1) ◽  
pp. 174-186 ◽  
Author(s):  
Yan Xu ◽  
Minghui Yin ◽  
Zhao Yang Dong ◽  
Rui Zhang ◽  
David J. Hill ◽  
...  

2015 ◽  
Vol 93 ◽  
pp. 239-248 ◽  
Author(s):  
Songyan Wang ◽  
Ning Chen ◽  
Daren Yu ◽  
Aoife Foley ◽  
Lingzhi Zhu ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-12
Author(s):  
Meng-Hui Wang ◽  
Hung-Cheng Chen

Maintaining a wind turbine and ensuring secure is not easy because of long-term exposure to the environment and high installation locations. Wind turbines need fully functional condition-monitoring and fault diagnosis systems that prevent accidents and reduce maintenance costs. This paper presents a simulator design for fault diagnosis of wind power systems and further proposes some fault diagnosis technologies such as signal analysis, feature selecting, and diagnosis methods. First, this paper uses a wind power simulator to produce fault conditions and features from the monitoring sensors. Then an extension neural network type-1- (ENN-1-) based method is proposed to develop the core of the fault diagnosis system. The proposed system will benefit the development of real fault diagnosis systems with testing models that demonstrate satisfactory results.


2020 ◽  
Vol 14 (9) ◽  
pp. 1684-1693
Author(s):  
Farzaneh Zare ◽  
Alimohammad Ranjbar ◽  
Faramarz Faghihi
Keyword(s):  

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